Comparing Variability of Two Measurement Processes Using R&R Studies

Abstract

In this paper we consider two methods for comparing variability of two measurement processes. The comparisons are based on statistics commonly computed in an R&R study. Computer simulation is used to compare methods and to support our recommendations. The basic conclusions are that: i) a simple method proposed by Cochran (1951) works well across a wide variety of conditions typically encountered in R&R studies, and is recommended over a modified large sample method; and ii) in studies where operators are randomly selected, samples of more than three operators are needed to provide useful results.

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